Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification.

ABSTRACT:

Background

The goal of this study is to use bioinformatics tools to explore identification and definition of distinct periodontal and tooth profile classes (PPCs/TPCs) among a cohort of individuals by using detailed clinical measures at the tooth level, including both periodontal measurements and tooth loss.

Methods

Full-mouth clinical periodontal measurements (seven clinical parameters) from 6,793 individuals from the Dental Atherosclerosis Risk in Communities Study (DARIC) were used to identify PPC. A custom latent class analysis (LCA) procedure was developed to identify clinically distinct PPCs and TPCs. Three validation cohorts were used: NHANES (2009 to 2010 and 2011 to 2012) and the Piedmont Study population (7,785 individuals).

Results

The LCA method identified

SUBMITTER: Morelli T 

PROVIDER: S-EPMC5288277 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature